Summary

This is a hands-on lead machine learning role owning the execution layer from data and training through evaluation, inference, and deployment. You will build reliable production systems for large models using python, pytorch, and jax; the working arrangement is not specified.

Responsibilities

• Own end-to-end machine learning systems
• Build training and fine-tuning pipelines
• Design evaluation systems for model performance
• Architect high-performance inference systems
• Build real-world and synthetic data pipelines
• Deploy, monitor, and improve production models
• Debug production issues and optimize reliability